RRepoGEO

REPOGEO REPORT · LITE

openai/transformer-debugger

Default branch main · commit c22efe8d · scanned 6/22/2026, 1:37:55 PM

GitHub: 4,123 stars · 241 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface openai/transformer-debugger, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise description to the 'About' section

    Why:

    COPY-PASTE FIX
    An interactive tool by OpenAI's Superalignment team for debugging small language models by tracing internal components, performing causal interventions, and explaining specific behaviors.
  • highreadme#2
    Refine the README's opening sentence to emphasize unique value

    Why:

    CURRENT
    Transformer Debugger (TDB) is a tool developed by OpenAI's Superalignment team with the goal of supporting investigations into specific behaviors of small language models.
    COPY-PASTE FIX
    Transformer Debugger (TDB) is an interactive tool by OpenAI's Superalignment team for causally investigating and debugging specific behaviors of small language models.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface openai/transformer-debugger
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Captum
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Captum · recommended 2×
  2. LlamaIndex · recommended 1×
  3. Transformers Interpret · recommended 1×
  4. Interpret-Community · recommended 1×
  5. Ecco · recommended 1×
  • CATEGORY QUERY
    How to investigate specific behaviors and interpretability of small language models?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. Transformers Interpret
    3. Captum
    4. Interpret-Community
    5. Ecco
    6. Lit

    AI recommended 6 alternatives but never named openai/transformer-debugger. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help debug transformer model outputs by tracing internal components?
    you: not recommended
    AI recommended (in order):
    1. Captum
    2. LIME
    3. SHAP
    4. Hugging Face Transformers Library
    5. BertViz
    6. TensorBoard
    7. Weights & Biases
    8. Matplotlib
    9. Seaborn
    10. PyTorch
    11. TensorFlow Debugger

    AI recommended 11 alternatives but never named openai/transformer-debugger. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of openai/transformer-debugger?
    pass
    AI named openai/transformer-debugger explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts openai/transformer-debugger in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/transformer-debugger explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo openai/transformer-debugger solve, and who is the primary audience?
    pass
    AI named openai/transformer-debugger explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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openai/transformer-debugger — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite